10370477 8323 Heinrich Peters 3918 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8225824 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 9752.749987151079 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.10517868292249122 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.05040735556381989 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 12697 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16345 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 16345 verbose false 16345 openml-python Sklearn_0.21.2. 1068 pc1 https://www.openml.org/data/download/53951/pc1.arff -1 21662659 description https://api.openml.org/data/download/21662659/description.xml -1 21662660 predictions https://api.openml.org/data/download/21662660/predictions.arff area_under_roc_curve 0.5476882613510521 [0.547688,0.547688] average_cost 0 f_measure 0.8902927769133219 [0.944738,0.160584] kappa 0.10622805603638535 kb_relative_information_score -0.12224984714504522 mean_absolute_error 0.1036970243462579 mean_prior_absolute_error 0.12988972477049396 number_of_instances 1109 [1032,77] precision 0.8847486535189023 [0.937083,0.183333] predictive_accuracy 0.8963029756537421 prior_entropy 0.36380676688852276 recall 0.8963029756537421 [0.952519,0.142857] relative_absolute_error 0.7983466323412669 root_mean_prior_squared_error 0.25418837468358885 root_mean_squared_error 0.32202022350507414 root_relative_squared_error 1.2668566133518957 total_cost 0 area_under_roc_curve 0.5618131868131868 [0.561813,0.561813] area_under_roc_curve 0.532967032967033 [0.532967,0.532967] area_under_roc_curve 0.5479368932038835 [0.547937,0.547937] area_under_roc_curve 0.6055825242718448 [0.605583,0.605583] area_under_roc_curve 0.5479368932038835 [0.547937,0.547937] area_under_roc_curve 0.533373786407767 [0.533374,0.533374] area_under_roc_curve 0.6104368932038835 [0.610437,0.610437] area_under_roc_curve 0.5382281553398058 [0.538228,0.538228] area_under_roc_curve 0.5188106796116505 [0.518811,0.518811] area_under_roc_curve 0.470873786407767 [0.470874,0.470874] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.9141934387217406 [0.962264,0.2] f_measure 0.8811444940085716 [0.932039,0.125] f_measure 0.8957528957528955 [0.952381,0.166667] f_measure 0.903908028908029 [0.951923,0.285714] f_measure 0.8957528957528955 [0.952381,0.166667] f_measure 0.8792618705662184 [0.937198,0.133333] f_measure 0.9101453311979628 [0.956938,0.307692] f_measure 0.8846896346896347 [0.942308,0.142857] f_measure 0.8631572749219808 [0.921569,0.111111] f_measure 0.877558190601669 [0.937198,0] kappa 0.16853932584269593 kappa 0.058181818181817814 kappa 0.12460567823343913 kappa 0.23868312757201662 kappa 0.12460567823343913 kappa 0.07083065035415313 kappa 0.2670579603815115 kappa 0.08641975308641957 kappa 0.03373231773667036 kappa -0.06240713224368533 kb_relative_information_score 0.16556121073096772 kb_relative_information_score -0.4602678812208041 kb_relative_information_score 0.05068722628849016 kb_relative_information_score 0.05068722628848971 kb_relative_information_score 0.050687226288490234 kb_relative_information_score -0.23410660582496365 kb_relative_information_score 0.1456185036596412 kb_relative_information_score -0.13917532845381214 kb_relative_information_score -0.5189004379384156 kb_relative_information_score -0.3597460150245022 mean_absolute_error 0.07207207207207207 mean_absolute_error 0.12612612612612611 mean_absolute_error 0.09009009009009009 mean_absolute_error 0.09009009009009009 mean_absolute_error 0.09009009009009009 mean_absolute_error 0.11711711711711711 mean_absolute_error 0.08108108108108109 mean_absolute_error 0.10810810810810811 mean_absolute_error 0.14414414414414414 mean_absolute_error 0.11818181818181818 mean_prior_absolute_error 0.12441514421712434 mean_prior_absolute_error 0.12441514421712434 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1249079453399885 number_of_instances 111 [104,7] number_of_instances 111 [104,7] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 110 [103,7] precision 0.9059059059059058 [0.944444,0.333333] precision 0.8888300064770652 [0.941176,0.111111] precision 0.8852403805674834 [0.934579,0.25] precision 0.898927498927499 [0.942857,0.333333] precision 0.8852403805674834 [0.934579,0.25] precision 0.8757672507672507 [0.932692,0.142857] precision 0.9042325344212137 [0.943396,0.4] precision 0.8780780780780781 [0.933333,0.166667] precision 0.8708232985460709 [0.930693,0.1] precision 0.8733391608391609 [0.932692,0] predictive_accuracy 0.927927927927928 predictive_accuracy 0.8738738738738739 predictive_accuracy 0.9099099099099099 predictive_accuracy 0.9099099099099099 predictive_accuracy 0.9099099099099099 predictive_accuracy 0.8828828828828829 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.8918918918918919 predictive_accuracy 0.8558558558558559 predictive_accuracy 0.8818181818181818 prior_entropy 0.3400686187404258 prior_entropy 0.3400686187404258 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.3422054374333021 recall 0.9279279279279279 [0.980769,0.142857] recall 0.8738738738738738 [0.923077,0.142857] recall 0.9099099099099099 [0.970874,0.125] recall 0.9099099099099099 [0.961165,0.25] recall 0.9099099099099099 [0.970874,0.125] recall 0.8828828828828829 [0.941748,0.125] recall 0.918918918918919 [0.970874,0.25] recall 0.8918918918918919 [0.951456,0.125] recall 0.8558558558558559 [0.912621,0.125] recall 0.8818181818181818 [0.941748,0] relative_absolute_error 0.5792869712572513 relative_absolute_error 1.0137521997001897 relative_absolute_error 0.6816787335869435 relative_absolute_error 0.6816787335869435 relative_absolute_error 0.6816787335869435 relative_absolute_error 0.8861823536630264 relative_absolute_error 0.6135108602282492 relative_absolute_error 0.8180144803043321 relative_absolute_error 1.0906859737391095 relative_absolute_error 0.9461513265640358 root_mean_prior_squared_error 0.24318130946048286 root_mean_prior_squared_error 0.24318130946048286 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.24419244540685378 root_mean_squared_error 0.2684624220856097 root_mean_squared_error 0.3551424026022887 root_mean_squared_error 0.3001501125938321 root_mean_squared_error 0.3001501125938321 root_mean_squared_error 0.3001501125938321 root_mean_squared_error 0.34222378222022665 root_mean_squared_error 0.2847473987257497 root_mean_squared_error 0.3287979746107146 root_mean_squared_error 0.3796631983009996 root_mean_squared_error 0.3437758254761643 root_relative_squared_error 1.1039599329455667 root_relative_squared_error 1.460401719976755 root_relative_squared_error 1.1606107521878715 root_relative_squared_error 1.1606107521878715 root_relative_squared_error 1.1606107521878715 root_relative_squared_error 1.3232998577504367 root_relative_squared_error 1.1010520361384777 root_relative_squared_error 1.2713853789126714 root_relative_squared_error 1.4680693815179702 root_relative_squared_error 1.407806965131099 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 30.452120000518335 usercpu_time_millis 28.09557699947618 usercpu_time_millis 29.286610999406548 usercpu_time_millis 28.93690000018978 usercpu_time_millis 29.508714999792574 usercpu_time_millis 29.077666000375757 usercpu_time_millis 29.089895000652177 usercpu_time_millis 28.47910100081208 usercpu_time_millis 38.458750000245345 usercpu_time_millis 29.026295999756258 usercpu_time_millis_testing 1.3148300004104385 usercpu_time_millis_testing 1.2454029993023141 usercpu_time_millis_testing 1.265064999643073 usercpu_time_millis_testing 1.2588270001288038 usercpu_time_millis_testing 1.2797279996448196 usercpu_time_millis_testing 1.2931050005136058 usercpu_time_millis_testing 1.336739000180387 usercpu_time_millis_testing 1.3520470001822105 usercpu_time_millis_testing 1.3259249999464373 usercpu_time_millis_testing 1.295066999773553 usercpu_time_millis_training 29.137290000107896 usercpu_time_millis_training 26.850174000173865 usercpu_time_millis_training 28.021545999763475 usercpu_time_millis_training 27.678073000060976 usercpu_time_millis_training 28.228987000147754 usercpu_time_millis_training 27.78456099986215 usercpu_time_millis_training 27.75315600047179 usercpu_time_millis_training 27.12705400062987 usercpu_time_millis_training 37.13282500029891 usercpu_time_millis_training 27.731228999982704 wall_clock_time_millis 30.457735061645508 wall_clock_time_millis 28.10192108154297 wall_clock_time_millis 29.292583465576172 wall_clock_time_millis 29.1440486907959 wall_clock_time_millis 29.514074325561523 wall_clock_time_millis 29.085159301757812 wall_clock_time_millis 29.095888137817383 wall_clock_time_millis 28.486967086791992 wall_clock_time_millis 38.46597671508789 wall_clock_time_millis 29.032468795776367 wall_clock_time_millis_testing 1.3175010681152344 wall_clock_time_millis_testing 1.2485980987548828 wall_clock_time_millis_testing 1.2679100036621094 wall_clock_time_millis_testing 1.2619495391845703 wall_clock_time_millis_testing 1.2824535369873047 wall_clock_time_millis_testing 1.2967586517333984 wall_clock_time_millis_testing 1.3396739959716797 wall_clock_time_millis_testing 1.3554096221923828 wall_clock_time_millis_testing 1.3289451599121094 wall_clock_time_millis_testing 1.2981891632080078 wall_clock_time_millis_training 29.140233993530273 wall_clock_time_millis_training 26.853322982788086 wall_clock_time_millis_training 28.024673461914062 wall_clock_time_millis_training 27.882099151611328 wall_clock_time_millis_training 28.23162078857422 wall_clock_time_millis_training 27.788400650024414 wall_clock_time_millis_training 27.756214141845703 wall_clock_time_millis_training 27.13155746459961 wall_clock_time_millis_training 37.13703155517578 wall_clock_time_millis_training 27.73427963256836